On Combining Morphological Component Analysis and Concentric Morphology Model for Mammographic Mass Detection
文献类型：期刊论文
| 作者 | Gao, Xinbo1; Wang, Ying1; Li, Xuelong2; Tao, Dacheng3 |
| 刊名 | ieee transactions on information technology in biomedicine
 |
| 出版日期 | 2010-03-01 |
| 卷号 | 14期号:2页码:266-273 |
| 关键词 | Breast cancer computer-aided detection mass detection morphological component analysis (MCA) morphology concentric layer |
| ISSN号 | 1089-7771 |
| 通讯作者 | x. gao |
| 合作状况 | 其它 |
| 英文摘要 | mammographic mass detection is an important task for the early diagnosis of breast cancer. however, it is difficult to distinguish masses from normal regions because of their abundant morphological characteristics and ambiguous margins. to improve the mass detection performance, it is essential to effectively preprocess mammogram to preserve both the intensity distribution and morphological characteristics of regions. in this paper, morphological component analysis is first introduced to decompose a mammogram into a piecewise-smooth component and a texture component. the former is utilized in our detection scheme as it effectively suppresses both structural noises and effects of blood vessels. then, we propose two novel concentric layer criteria to detect different types of suspicious regions in a mammogram. the combination is evaluated based on the digital database for screening mammography, where 100 malignant cases and 50 benign cases are utilized. the sensitivity of the proposed scheme is 99% in malignant, 88% in benign, and 95.3% in all types of cases. the results show that the proposed detection scheme achieves satisfactory detection performance and preferable compromises between sensitivity and false positive rates. |
| WOS标题词 | science & technology ; technology ; life sciences & biomedicine |
| 学科主题 | 信号与模式识别 ; 计算机应用其他学科（含图像处理） |
| 类目[WOS] | computer science, information systems ; computer science, interdisciplinary applications ; mathematical & computational biology ; medical informatics |
| 研究领域[WOS] | computer science ; mathematical & computational biology ; medical informatics |
| 关键词[WOS] | computerized detection ; breast masses ; density ; tumors |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000275666100011 |
| 公开日期 | 2011-01-11 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/8583]  |
| 专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
| 作者单位 | 1.Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China 2.Chinese Acad Sci, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China 3.Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore |
| 推荐引用方式 GB/T 7714 | Gao, Xinbo,Wang, Ying,Li, Xuelong,et al. On Combining Morphological Component Analysis and Concentric Morphology Model for Mammographic Mass Detection[J]. ieee transactions on information technology in biomedicine,2010,14(2):266-273. |
| APA | Gao, Xinbo,Wang, Ying,Li, Xuelong,&Tao, Dacheng.(2010).On Combining Morphological Component Analysis and Concentric Morphology Model for Mammographic Mass Detection.ieee transactions on information technology in biomedicine,14(2),266-273. |
| MLA | Gao, Xinbo,et al."On Combining Morphological Component Analysis and Concentric Morphology Model for Mammographic Mass Detection".ieee transactions on information technology in biomedicine 14.2(2010):266-273. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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